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"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
This book covers the foundations of modern methods of quality control and improvement that are used in the manufacturing and service industries. Quality is key to surviving tough competition. Consequently, business needs technically competent people who are well-versed in statistical quality control and improvement. This book should serve the needs of students in business and management and students in engineering, technology, and other related disciplines. Professionals will find this book to be a valuable reference in the field.
A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Third Edition presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, this timely new edition bridges the gap between statistical quality control and quality management. The book promotes a unique "do it right the first time" approach and focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. Further management-oriented topics of discussion include total quality management; quality function deployment; activity-basedcosting; balanced scorecard; benchmarking; failure mode and effects criticality analysis; quality auditing; vendor selection and certification; and the Six Sigma quality philosophy. The Third Edition also features: Presentation of acceptance sampling and reliability principles Coverage of ISO 9000 standards Profiles of past Malcolm Baldrige National Quality Award winners, which illustrate examples of best business practices Strong emphasis on process control and identification of remedial actions Integration of service sector examples The implementation of MINITAB software in applications found throughout the book as well as in the additional data sets that are available via the related Web site New and revised exercises at the end of most chapters Complete with discussion questions and a summary of key terms in each chapter, Fundamentals of Quality Control and Improvement, Third Edition is an ideal book for courses in management, technology, and engineering at the undergraduate and graduate levels. It also serves as a valuable reference for practitioners and professionals who would like to extend their knowledge of the subject.
This book has been written to provide both students and industrial man agers with a comprehensive description of the tools and techniques of Quality Management and also to provide a framework for understanding Quality Development. Central to the theme of this book is the idea that quality management is a developmental process which requires an understanding of the techniques, the people and the systems issues. The aims of quality development are to produce greater organizational consistency, to improve customer satisfac tion and to reduce the business process costs. In order to achieve these aims, managers are required to have an understanding of both the underlying the ories and the methodologies for implementation. The aim of this book is to provide a coherent description of both the theoretical and implementation aspects of quality management. Since the halcyon days of the quality 'revolution' of the 1970s and 1980s, many organizations have realized that quality development represents an enormous management challenge. This challenge for continuous improve ment requires the continuous development of systems, of techniques and of people. Like most serious business strategies, competitive improvement through quality development can only be achieved if the organization understands not only what the various quality 'options' are but also when a particular technique or approach is applicable. Quality development has no single blueprint but requires a learning organization which understands key concepts and methods of implementation.
The role of quality assurance is to ensure that once a specification has been agreed, every product and every production run meets that standard. The Fundamentals of Quality Assurance in the Textile Industry describes how quality professionals in the apparel industry coordinating with overseas factories can ensure excellence. The author explains what tools are required and how to manage products from style conception to finished production and the methods used to track and evaluate samples and production at each stage of the critical path. This book reinforces the concept that quality assurance must become an integral part of the business and details crucial procedures that have been adopted internationally.
This textbook will be welcomed throughout engineering education as the one-stop teaching text for students of manufacturing. It takes the student through the fundamental principles and practices of modern manufacturing processes in a lively and informative fashion. Topics include casting, joining, cutting, metal deformation processes, surface treat
A practical guide to semiconductor manufacturing from processcontrol to yield modeling and experimental design Fundamentals of Semiconductor Manufacturing and Process Controlcovers all issues involved in manufacturing microelectronic devicesand circuits, including fabrication sequences, process control,experimental design, process modeling, yield modeling, and CIM/CAMsystems. Readers are introduced to both the theory and practice ofall basic manufacturing concepts. Following an overview of manufacturing and technology, the textexplores process monitoring methods, including those that focus onproduct wafers and those that focus on the equipment used toproduce wafers. Next, the text sets forth some fundamentals ofstatistics and yield modeling, which set the foundation for adetailed discussion of how statistical process control is used toanalyze quality and improve yields. The discussion of statistical experimental design offers readers apowerful approach for systematically varying controllable processconditions and determining their impact on output parameters thatmeasure quality. The authors introduce process modeling concepts,including several advanced process control topics such asrun-by-run, supervisory control, and process and equipmentdiagnosis. Critical coverage includes the following: * Combines process control and semiconductor manufacturing * Unique treatment of system and software technology and managementof overall manufacturing systems * Chapters include case studies, sample problems, and suggestedexercises * Instructor support includes electronic copies of the figures andan instructor's manual Graduate-level students and industrial practitioners will benefitfrom the detailed exami?nation of how electronic materials andsupplies are converted into finished integrated circuits andelectronic products in a high-volume manufacturingenvironment. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment. An Instructor Support FTP site is also available.
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Continuing the well-established legacy of the first edition, Industrial Noise Control, Second Edition examines the fundamental principles of noise and vibration control, maintaining the concise format and clarity of presentation that made its predecessor so popular. The authors illustrate solutions to real problems, identify and characterize major sources of industrial noise, and provide systematic design and engineering approaches to control. They supply useful acoustical performance charts, case histories, and tables of materials and supplies. Along with computer-aided calculations and digital instrumentation, the book shows how to plan for compliance with OSHA, DEP and EPA standards.